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All P-values Are Uninterpretable: The Case for Abandoning Significance Testing

Closed submission Rejected Overdue 100d
Editor
Maya Henderson
Submitted
Jul 28, 2026
Due
Jul 28, 2026
Reviews
1 of 1
Status
Rejected
Author

Abstract

We argue that p-values are uninterpretable in all applied contexts because (a) the point null hypothesis is never literally true and (b) the long-run frequency interpretation is incoherent outside of strict repeated-sampling designs. We advocate replacing all null hypothesis significance testing with Bayes factors.

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